Financial Markets Data Visualization using Matplotlib

Solana OHLC API

Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.

Deterministic PineScript v6 backtest runtime. Validated trade-for-trade against TradingView.

Apply popular TA tools and charts to candlestick data with NumPy.

Sample implementation of TradingView Charting Library UDF-compatible data source for Binance exchange

Live and historical market data for: Stocks, FX, crypto, commodities, indices and ETFs over WebSocket and REST.

Get meaningful OHLCV datasets

[NPM] OHLCV Candlestick Batcher/Converter

Download candlestick data fast & easy for analysis

CryptoFetch is a powerful command-line tool that downloads historical cryptocurrency price data from Binance. It features a clean terminal interface with real-time progress tracking and supports all USDT trading pairs available on Binance.

PriceHub: Unified Python Package for Collecting OHLC Prices from Binance, Bybit, OKX, Coinbase, Kraken APIs into a DataFrame

Indonesia Stock Exchange (IHSG) Deep Learning Trading System

Gets historical OHLCV data from supported exchanges and converts it into dataframe readable by TensorTrade.

OxiDiviner: A production-ready, open-source Rust library for time series analysis and forecasting, especially for financial markets. Features a wide array of models including ARIMA, GARCH, ETS, Kalman Filters, Markov Regime-Switching, and more. Offers multiple API layers for all expertise levels.

Generate candlesticks from your tick data in realtime.

🕯️ Resample (inter-convert) market trades, ticks or OHLCV data to different time frames.

fetches historical OHLC values from most crypto exchanges using ccxt library. saves candles to a sqlite database per symbol.

Effortlessly download, convert, and export Dukascopy tick data. This package seamlessly transforms proprietary Bi5 tick data into standardized CSV files, providing OHLCV (Open, High, Low, Close, Volume) data resampled to your preferred timeframe resolution. Streamline your data processing with a lightweight, reliable tool.